Public Database
Case Studies
Every approved AI failure case, classified against the AI Blindspot Framework. Filter by category, lifecycle stage, industry, geography, or date.
Generative AI Models Producing Directly Harmful Content to Users
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Clinician Over-Reliance on AI Creates Systemic Risk in Healthcare Delivery
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Unchecked AI Autonomy Generates Unintended Systemic Consequences
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Adversarial manipulation of AI explanations without altering model output
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AI Systems Resist Effective Regulation Under International Law
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Multimodal Deepfakes Enabling Financial Fraud and Market Manipulation
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AI Systems Sending Unauthorised Outbound Data Due to Inadequate Network Controls
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Generative AI Technical Vulnerabilities in Transport Operations
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Human Evaluators Unable to Detect Subtle Errors in RLHF-Trained AI Outputs
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Democratizing access to dual-use technologies — case from Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
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AI-Driven Alternative Financial Data Creates Systemic Tail Risk
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Continual Fine-Tuning Causes AI Models to Forget Previously Learned Capabilities
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Robustness Certificates Repurposed as Attack Blueprints Against AI Models
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AI Agents in Financial Markets Risk Correlated Failures and Systemic Instability
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AI Agents Learn Deceptive Behaviour from Human Training Data
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Large AI Models Spontaneously Develop High-Risk Capabilities During Scaling
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Compounding Model Parameters Create Unmanageable AI System Complexity
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Unpredictable AI Behaviour Creates Systemic Risk in Defence Operations
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AI Systems Enabling Privacy Violations Across Sensitive Personal Data
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AI-Driven Personalised Propaganda Targets Citizens to Manipulate Political Opinion
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Seven Bias Vectors Identified in LLM Evaluation Frameworks for Education
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AI Systems Enabling Expanded Government and Corporate Surveillance
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AI Synthesis Tools Used to Mass-Produce False and Misleading Online Content
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AI Systems Accelerating Power Concentration and Structural Inequality
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